impetuous-gfa
Creators
Description
# A Statistical Learning library for Humans
This toolkit currently offers enrichment analysis, hierarchical enrichment analysis, novel PLS regression, shape alignment, connectivity clustering, clustering and hierarchical clustering as well as factor analysis methods.
The fine grained data can be studied via a statistical tests that relates it to observables in a coarse grained journal file. The final p values can then be rank corrected by employing a novel q-value method.
https://pypi.org/project/impetuous-gfa/
https://github.com/richardtjornhammar/impetuous
https://gitlab.com/richardtjornhammar/impetuous
https://bitbucket.org/richardtjornhammar/impetuous
https://codechina.csdn.net/m0_52121311/impetuous
Files
impetuous-gfa-0-87-0.zip
Files
(3.3 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:4f42e91bf610663014e5fe38c5bd5eb1
|
52.3 kB | Download |
|
md5:67acb009361738962c848a1e7aca1dcd
|
2.4 MB | Preview Download |
|
md5:6683ceda445d904d28b7d1d20af9d522
|
1.3 kB | Download |
|
md5:87ee0120be9b2cd1fa03cc2632f3546c
|
21.7 kB | Download |
|
md5:4c50436050ec8522f9087f4ebe39994f
|
21.8 kB | Download |
|
md5:865865ab0bcd8251a7b194d33ed90afa
|
22.5 kB | Download |
|
md5:c5233dbba52e43c4b0ec2a3af64d3e33
|
10.9 kB | Download |
|
md5:0d0028dcd5660a5e1deb7b2ded41fe40
|
11.6 kB | Download |
|
md5:5e2bbb1f9e5433912aa5bd5ab55664a7
|
12.1 kB | Download |
|
md5:0610bf33fe56564031b1eb1454fd4374
|
12.2 kB | Download |
|
md5:4c774a39396aee1ac189e89b7b1643a5
|
12.9 kB | Download |
|
md5:8d1938cab76cb5a338dc943735075aec
|
14.9 kB | Download |
|
md5:84052746266bd028a1bf6e47ab669de5
|
10.1 kB | Download |
|
md5:358774e2d32f392ef03f4462427ead3d
|
10.6 kB | Download |
|
md5:95a8149a4bc61b7c88631da9c5749d64
|
10.6 kB | Download |
|
md5:b8117931f86bca12b3bcc3e5955caa4d
|
35.3 kB | Download |
|
md5:401950dea5c1604dc58e80c886b1f103
|
35.5 kB | Download |
|
md5:7937c09e4c7dc34f5887251ee05d0db0
|
15.1 kB | Download |
|
md5:a62092b9264a9f3aa749c4f327e1abe1
|
16.5 kB | Download |
|
md5:495d902e07109a3c1e4a4ecaa64f74af
|
37.2 kB | Download |
|
md5:1344feabd8f8fa264fe8ffa56fa5ed0e
|
16.7 kB | Download |
|
md5:23d94ee584dbdc14741ef319c1171af4
|
55.1 kB | Download |
|
md5:ba4186b1abb775cf38ecd36920382e60
|
55.1 kB | Download |
|
md5:a5a39340a0978240fd841b02f187559b
|
17.0 kB | Download |
|
md5:54471b2ad85cde29bcbb47d932e405a2
|
16.7 kB | Download |
|
md5:144862a0a28c58481b7d822fabadb572
|
17.5 kB | Download |
|
md5:2792cd7bb02e780d76de7e4fcbb1ba3c
|
106.0 kB | Preview Download |
|
md5:410ae85059f9aaafa75dbc90d52979ac
|
106.2 kB | Preview Download |
|
md5:d623ffe42d68267dec6be0412d0b1667
|
18.0 kB | Download |
|
md5:6c2798ceca9b386ca420c601beb342e9
|
20.1 kB | Download |
|
md5:3ddaa2662ea04319f19478e5f7904c68
|
20.5 kB | Download |
|
md5:0e4e8c9eea661ac8b97c0395e072e3b6
|
20.7 kB | Download |
|
md5:cd4c2a936849ee00f626069fe999816e
|
20.8 kB | Download |
|
md5:c7814287e02d6b2561b135bd2cc4f245
|
20.9 kB | Download |
|
md5:c2f5d82028ef7175f64e0b8af16ba6e6
|
21.1 kB | Download |
|
md5:980675e5514e581c960747af502fa3bc
|
21.2 kB | Download |
|
md5:8f98051db5d04a9263780410424691c9
|
21.2 kB | Download |